Literature DB >> 16385014

Magnetic resonance imaging advances in multiple sclerosis.

Rohit Bakshi1.   

Abstract

Magnetic resonance imaging (MRI) has become a core component of clinical management and scientific research in multiple sclerosis (MS), providing essential information about tissue structure and function. MRI is now the most important laboratory diagnostic and longitudinal monitoring technology. A number of conventional MRI techniques, which include T2-weighted, T1-weighted, and gadolinium-enhanced imaging, are used to identify overt lesions and quantify tissue atrophy. MRI is highly sensitive in detecting brain and spinal cord involvement in MS and can visualize multifocal lesions, occult disease, and macroscopic atrophy. Advanced MRI techniques, such as magnetization transfer imaging, spectroscopy, diffusion-weighted imaging, and functional MRI, have added to our understanding of the pathogenesis of the disease. The precise role of these newer imaging approaches continues to be defined. In this supplement to the Journal of Neuroimaging, the authors review the role of conventional and advanced MRI techniques in detecting tissue changes in MS, diagnosing and monitoring patients, and charting the progression of disease in new and established patients.

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Year:  2005        PMID: 16385014     DOI: 10.1177/1051228405283362

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  5 in total

1.  Diagnosis and treatment of multiple sclerosis: potential changes in management for clinically isolated episode of optic neuritis.

Authors:  Peter D Cackett; James Cameron; Harry Bennett
Journal:  BMJ       Date:  2006-03-18

2.  MR spectroscopy indicates diffuse multiple sclerosis activity during remission.

Authors:  I I Kirov; V Patil; J S Babb; H Rusinek; J Herbert; O Gonen
Journal:  J Neurol Neurosurg Psychiatry       Date:  2009-06-21       Impact factor: 10.154

3.  Angiogenesis is present in experimental autoimmune encephalomyelitis and pro-angiogenic factors are increased in multiple sclerosis lesions.

Authors:  Timothy J Seabrook; Amanda Littlewood-Evans; Volker Brinkmann; Bernadette Pöllinger; Christian Schnell; Peter C Hiestand
Journal:  J Neuroinflammation       Date:  2010-12-22       Impact factor: 8.322

Review 4.  Mills' syndrome revisited.

Authors:  Stephan R Jaiser; Dipayan Mitra; Timothy L Williams; Mark R Baker
Journal:  J Neurol       Date:  2019-01-10       Impact factor: 4.849

5.  Lesion Volume Quantification Using Two Convolutional Neural Networks in MRIs of Multiple Sclerosis Patients.

Authors:  Marcela de Oliveira; Marina Piacenti-Silva; Fernando Coronetti Gomes da Rocha; Jorge Manuel Santos; Jaime Dos Santos Cardoso; Paulo Noronha Lisboa-Filho
Journal:  Diagnostics (Basel)       Date:  2022-01-18
  5 in total

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